{"meta":{"page":1,"per_page":50,"max_per_page":100,"total":157,"total_is_capped":false,"direct_labels_cover":0,"predictions_cover":157,"direct_label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline (scores rank; they never assert a category)","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"query_hash":"728e2b7f62b0","filters":{"venue":"Information Systems Research"}},"results":[{"id":"W2098685541","doi":"10.1287/isre.14.2.189.16018","title":"A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study","year":2003,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":6447,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Athabasca University; University of Calgary","funders":"","keywords":"Monte Carlo method; Latent variable; Econometrics; Contingency theory; Computer science; Set (abstract data type); Contingency table; Variables; Contingency; Variable (mathematics); Regression analysis; Statistics; Mathematics; Artificial intelligence; Machine learning","retraction":null,"screen_n_in":null,"score":{"opus":0.2830901078654796,"gpt":0.4463067198580027,"spread":0.1632166119925231,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01617412,0.0002175125,0.0003775347,0.001145399,0.0008176966,0.001366772,0.0003837241,0.0002165952,0.000005041389],"category_scores_gemma":[0.004044842,0.0001840334,0.00005658811,0.00101106,0.00004007474,0.003779598,0.00009823696,0.0005715464,0.00003399659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003528149,"about_ca_system_score_gemma":0.0001403286,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001793885,"about_ca_topic_score_gemma":0.0001099343,"domain_scores_codex":[0.9930098,0.002078212,0.001554498,0.0006129274,0.002206294,0.0005382681],"domain_scores_gemma":[0.9957039,0.000964281,0.0004033795,0.0007473061,0.002033937,0.0001471407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000728856,0.0007561649,0.01583688,0.00002533764,0.00005514869,8.193548e-7,0.01378524,0.9637257,0.00005774584,0.0004526251,0.00003455672,0.004540888],"study_design_scores_gemma":[0.003258799,0.0009203185,0.00478828,0.00003131731,0.0000242136,0.000003989217,0.08177477,0.9084025,0.00001880759,0.0001481375,0.0004614173,0.0001674178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7632843,0.00003489535,0.2325053,0.00001610059,0.0002461797,0.003620884,0.0000299589,0.000130244,0.0001322118],"genre_scores_gemma":[0.9985468,0.000003077826,0.0005443848,0.000005775542,0.00007808306,0.0006980724,0.00004190989,0.00001585374,0.0000659928],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2352626,"threshold_uncertainty_score":0.9996699,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2163241745","doi":"10.1287/isre.1040.0032","title":"Internet Users' Information Privacy Concerns (IUIPC): The Construct, the Scale, and a Causal Model","year":2004,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":3056,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Operationalization; Personally identifiable information; Computer science; Construct (python library); The Internet; Internet privacy; Context (archaeology); Variance (accounting); Causal model; Information privacy; Privacy by Design; Data science; World Wide Web; Business; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.09729856527823119,"gpt":0.3767261474352921,"spread":0.279427582157061,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004897978,0.0001024723,0.0001180279,0.0002062131,0.001460281,0.001650668,0.0008294823,0.0001385544,0.00001350738],"category_scores_gemma":[0.001186671,0.00006425758,0.00003115896,0.0005331263,0.0008657754,0.00582355,0.0004505505,0.000499462,0.0002631359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003213604,"about_ca_system_score_gemma":0.0005979785,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02881102,"about_ca_topic_score_gemma":0.001301818,"domain_scores_codex":[0.9972905,0.0004499732,0.000485257,0.0000957014,0.001278092,0.0004005058],"domain_scores_gemma":[0.9983876,0.0002218904,0.0001839069,0.0004191554,0.0006674046,0.0001200126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001285376,0.00002486922,0.001786525,0.000250016,0.00005306091,7.292812e-7,0.4875431,0.002103865,0.00002097112,0.4578434,0.03028993,0.01995494],"study_design_scores_gemma":[0.001896211,0.000128981,0.001687153,0.00021652,0.00001490441,0.00005191094,0.173278,0.06413613,0.000209364,0.01304044,0.744978,0.0003623989],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7543641,0.0005723177,0.08684373,0.03390169,0.00210813,0.01011045,0.000399108,0.0005171058,0.1111834],"genre_scores_gemma":[0.9990097,0.0001682173,0.00006929952,0.0002383862,0.0001762214,0.0001735196,0.00003852373,0.000003838876,0.000122271],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.714688,"threshold_uncertainty_score":0.9998397,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1973160246","doi":"10.1287/isre.12.3.304.9708","title":"Research Report: Empirical Test of an EDI Adoption Model","year":2001,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":1161,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Promotion and Mutual Aid Corporation for Private Schools of Japan","keywords":"Purchasing; Electronic data interchange; Structural equation modeling; Construct (python library); Test (biology); Knowledge management; Business; Empirical research; Marketing; Computer science; Database","retraction":null,"screen_n_in":null,"score":{"opus":0.5278118299250419,"gpt":0.5725352300960543,"spread":0.0447234001710124,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04603756,0.0001288777,0.0003246213,0.003590183,0.0006047929,0.0006082176,0.001425181,0.000442071,0.000143035],"category_scores_gemma":[0.01103399,0.0001006218,0.00008015111,0.004636223,0.0005312607,0.003349694,0.0004227503,0.001118997,0.001962371],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002057619,"about_ca_system_score_gemma":0.0005337318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002409632,"about_ca_topic_score_gemma":0.0000330072,"domain_scores_codex":[0.9878348,0.001069946,0.002059722,0.0003925746,0.007856783,0.0007861987],"domain_scores_gemma":[0.9877203,0.001615533,0.000410075,0.001655053,0.00831937,0.0002796307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005305598,0.001440205,0.5672784,0.0001446805,0.00003523599,0.0003333219,0.01154707,0.02485584,0.003060119,0.0349163,0.2444187,0.1114396],"study_design_scores_gemma":[0.001280274,0.0008143775,0.1371206,0.0001247069,0.000005380643,0.001327039,0.04360941,0.5440338,0.0006804822,0.007380525,0.2632208,0.0004025756],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9540605,0.00004369527,0.0122977,0.001315822,0.0002896554,0.000782195,0.00003750801,0.0001622706,0.03101068],"genre_scores_gemma":[0.9941656,0.00002429788,0.0005252483,0.00002699437,0.0000964394,0.0001110876,0.00003882325,0.000009859242,0.005001676],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.519178,"threshold_uncertainty_score":0.9988147,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2117296855","doi":"10.1287/isre.12.1.11.9714","title":"Alignment Between Business and IS Strategies: A Study of Prospectors, Analyzers, and Defenders","year":2001,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Information Technology Governance and Strategy","field":"Business, Management and Accounting","cited_by":1116,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Business analytics; Strategic alignment; Strategic management; Computer science; Business intelligence; Empirical research; Technology strategy; A priori and a posteriori; Business system planning; Strategic information system; Information system; Measure (data warehouse); Business model; Strategic planning; Process management; Business analysis; Business; Knowledge management; Marketing; Management information systems; Data mining; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.05940555297712918,"gpt":0.3130559208749782,"spread":0.2536503678978491,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001011655,0.0001157815,0.0002185979,0.000717376,0.0002409572,0.0006702524,0.0001667419,0.00007968731,0.00002110779],"category_scores_gemma":[0.00005978504,0.00009924675,0.00001392645,0.001098433,0.0001116913,0.005056575,0.0001386737,0.0001568969,0.00005092526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003917549,"about_ca_system_score_gemma":0.00004683465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004223628,"about_ca_topic_score_gemma":0.00007262507,"domain_scores_codex":[0.9983607,0.00001729845,0.0005656023,0.0001136421,0.0006857262,0.0002570346],"domain_scores_gemma":[0.9987127,0.00003637432,0.0003099151,0.0002044073,0.0007210826,0.00001554275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009263219,0.000112932,0.9129243,0.00165764,0.0001729802,0.000005877494,0.007851164,0.0001851354,0.0000297148,0.06095416,0.005231661,0.01078183],"study_design_scores_gemma":[0.003022219,0.0002060188,0.5717795,0.0001980184,0.00004471983,0.00001588196,0.333941,0.003735542,0.00003610878,0.001201396,0.08539984,0.0004196568],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.979129,0.00006056259,0.0003340569,0.0001581603,0.00005185426,0.000829045,0.000006138035,0.00005554283,0.01937569],"genre_scores_gemma":[0.9996656,0.00005539188,0.000006055188,0.00003704712,0.00009098827,0.00005491859,0.00001776974,0.000005157088,0.00006707333],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3411447,"threshold_uncertainty_score":0.6463259,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2110799735","doi":"10.1287/isre.1060.0096","title":"Reconceptualizing System Usage: An Approach and Empirical Test","year":2006,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":1021,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"University of British Columbia","keywords":"Nomological network; Operationalization; Construct (python library); Computer science; Empirical research; Function (biology); Context (archaeology); Task (project management); Set (abstract data type); Information system; Selection (genetic algorithm); Knowledge management; Scrutiny; Data science; Structural equation modeling; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.3756402194625605,"gpt":0.4895840218430352,"spread":0.1139438023804746,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01120912,0.0001280921,0.0002691796,0.001221912,0.0005506873,0.00132996,0.0006997297,0.0002843053,0.00003512101],"category_scores_gemma":[0.001154737,0.00009609092,0.00003904981,0.001329616,0.0002913849,0.002065571,0.0001894014,0.0004657352,0.0006246758],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001472956,"about_ca_system_score_gemma":0.00009961395,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004216187,"about_ca_topic_score_gemma":0.00001170751,"domain_scores_codex":[0.9951514,0.0007045009,0.001132372,0.0003186178,0.002267502,0.000425586],"domain_scores_gemma":[0.9969671,0.0008743076,0.0002344707,0.0006961514,0.001065722,0.0001621927],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002486901,0.0001490393,0.8952153,0.000146276,0.000007453262,0.000009052471,0.003344323,0.0004008211,0.0002110405,0.04632399,0.03233936,0.02182846],"study_design_scores_gemma":[0.001100366,0.0001884235,0.5493265,0.00009515097,0.000005035728,0.0005153263,0.09626904,0.08426173,0.0001107932,0.0004805318,0.2672282,0.000418878],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9298621,0.0001555874,0.009124996,0.0002725229,0.000284183,0.0007168279,0.00003475828,0.0003398539,0.05920914],"genre_scores_gemma":[0.9977136,0.000002178945,0.0005789211,0.00002573461,0.0001026515,0.0000970095,0.00003094453,0.000007078285,0.001441832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3458888,"threshold_uncertainty_score":0.9997067,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2116676072","doi":"10.1287/isre.1040.0028","title":"Toward Contextualized Theories of Trust: The Role of Trust in Global Virtual Teams","year":2004,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":777,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Situational ethics; Group cohesiveness; Moderation; Perception; Social psychology; Psychology; Knowledge management; Task (project management); Psychological safety; Computer science; Management","retraction":null,"screen_n_in":null,"score":{"opus":0.03249317446462396,"gpt":0.3719991150907537,"spread":0.3395059406261297,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002612966,0.00009770962,0.0002564511,0.0002215156,0.00007736051,0.00005500421,0.0004546898,0.0001390759,0.0000842324],"category_scores_gemma":[0.0001432637,0.00006762658,0.00005583821,0.0006877673,0.0003103742,0.0004242817,0.00008061994,0.0002717252,0.0001449344],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001638504,"about_ca_system_score_gemma":0.0001944608,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007286437,"about_ca_topic_score_gemma":0.0001067551,"domain_scores_codex":[0.9978268,0.0002775633,0.0008063014,0.00009134488,0.0006758936,0.0003220564],"domain_scores_gemma":[0.9987794,0.0001603887,0.0002299433,0.0003913907,0.0003927847,0.0000460723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004082997,0.00005965782,0.01630037,0.00008535496,0.0000374846,8.361017e-7,0.0548498,0.0009358362,0.00005040374,0.9123411,0.00009779365,0.01483308],"study_design_scores_gemma":[0.009975044,0.001403208,0.08580913,0.0005255803,0.0000127521,0.0001069683,0.7630196,0.01070806,0.0006475825,0.01851287,0.1088141,0.0004650925],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8880287,0.0003614934,0.000533686,0.0001236416,0.0003157788,0.0006227043,0.00015963,0.0000165893,0.1098377],"genre_scores_gemma":[0.9995465,0.00002365081,0.00001023833,0.00001782769,0.00004104459,0.00009399473,0.00001984114,0.000005041351,0.0002418677],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8938282,"threshold_uncertainty_score":0.9993241,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2012656354","doi":"10.1287/isre.13.4.363.69","title":"Research Commentary: Information Systems and Conceptual Modeling—A Research Agenda","year":2002,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Business Process Modeling and Analysis","field":"Business, Management and Accounting","cited_by":757,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Computer science; Conceptual model; Conceptual framework; Knowledge management; Information system; Conceptual schema; Domain model; Process (computing); Process modeling; Business process reengineering; Process management; Domain (mathematical analysis); Management science; Data science; Work in process; Domain knowledge; Engineering","retraction":null,"screen_n_in":null,"score":{"opus":0.253961470418809,"gpt":0.3724931452302471,"spread":0.1185316748114381,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.01934057,0.0002748233,0.000443992,0.005059478,0.002564752,0.006401989,0.0008454273,0.0003032319,0.0001037967],"category_scores_gemma":[0.001038235,0.0002486596,0.00007294897,0.00488673,0.000601782,0.0157314,0.0008004699,0.001670056,0.004595306],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003171893,"about_ca_system_score_gemma":0.00008357185,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01986776,"about_ca_topic_score_gemma":0.00004074993,"domain_scores_codex":[0.9913868,0.0005033266,0.001397739,0.0003541782,0.004952121,0.001405777],"domain_scores_gemma":[0.9887502,0.0004254789,0.0002568215,0.0006889988,0.009781964,0.00009651694],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002323429,0.0002524209,0.002397753,0.007354721,0.0002547532,0.0000162966,0.01293765,0.1466816,0.00005718743,0.139952,0.6593203,0.03054302],"study_design_scores_gemma":[0.0005108481,0.00002073869,0.0000179403,0.0002338879,0.000007558664,0.000005573287,0.03111316,0.6478748,0.000002015955,0.000138366,0.319888,0.0001871034],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5420464,0.01042437,0.02670974,0.02473876,0.003302283,0.009763078,0.0002011456,0.001585176,0.3812291],"genre_scores_gemma":[0.9967915,0.0003356866,0.00002335331,0.0004585472,0.00114215,0.0004269273,0.0002638274,0.00002797059,0.0005300841],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5011932,"threshold_uncertainty_score":0.9999965,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2085666545","doi":"10.1287/isre.12.2.208.9697","title":"Research Report: Richness Versus Parsimony in Modeling Technology Adoption Decisions—Understanding Merchant Adoption of a Smart Card-Based Payment System","year":2001,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":629,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Western University","funders":"","keywords":"Antecedent (behavioral psychology); Technology acceptance model; Payment card; Context (archaeology); Variance (accounting); Marketing; Smart card; Payment; Business; Usability; Scale (ratio); Set (abstract data type); Knowledge management; Computer science; Psychology; Accounting; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.498167396037724,"gpt":0.4831736395837317,"spread":0.01499375645399226,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.04430597,0.0002585385,0.0006815175,0.01318083,0.0007531172,0.000474176,0.001409809,0.0008175507,0.0000229063],"category_scores_gemma":[0.006282576,0.000221183,0.000143525,0.01144279,0.00043209,0.001637517,0.0004703152,0.001518358,0.0004973088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002723813,"about_ca_system_score_gemma":0.0006795607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007022917,"about_ca_topic_score_gemma":0.0002673255,"domain_scores_codex":[0.9855017,0.001818376,0.003392924,0.0006866074,0.007467789,0.001132567],"domain_scores_gemma":[0.9899389,0.002253923,0.0007206482,0.001750371,0.005124297,0.0002119332],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00706609,0.0009382876,0.2723901,0.0006370357,0.0001553433,0.001081374,0.006310526,0.4017485,0.001151601,0.266676,0.00375278,0.03809242],"study_design_scores_gemma":[0.003926681,0.0006223728,0.003767553,0.001330055,0.0000143697,0.0002957326,0.2701328,0.7095492,0.0002744737,0.001871266,0.007775343,0.0004401311],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.816671,0.0002333915,0.1764607,0.0008572046,0.001001269,0.001741175,0.00002750613,0.0002668469,0.00274098],"genre_scores_gemma":[0.9987548,0.00008357319,0.0004814664,0.000004889469,0.00004198202,0.0004612535,0.00004276619,0.00001993706,0.0001093144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3078007,"threshold_uncertainty_score":0.9980039,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2132534623","doi":"10.1287/isre.1120.0453","title":"How Is the Mobile Internet Different? Search Costs and Local Activities","year":2012,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":539,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Toronto","funders":"","keywords":"The Internet; Ranking (information retrieval); Exploit; Computer science; Microblogging; Mobile Web; Mobile device; Internet privacy; Mobile internet; World Wide Web; Mobile technology; Mobile computing; Service (business); Social media; Business; Telecommunications; Information retrieval; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.05891662645768019,"gpt":0.313018951978889,"spread":0.2541023255212088,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.001754968,0.0001072989,0.0001247168,0.0003738402,0.0003048223,0.00230201,0.0002222887,0.00006097793,0.00008779906],"category_scores_gemma":[0.00005178255,0.00006920914,0.00003085597,0.0003285391,0.0001557706,0.004868492,0.0003817924,0.0003255989,0.000226459],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000703687,"about_ca_system_score_gemma":0.00001353045,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002032239,"about_ca_topic_score_gemma":0.00002758127,"domain_scores_codex":[0.9984768,0.00008050228,0.0001964888,0.0000804416,0.0007324179,0.0004333624],"domain_scores_gemma":[0.9991944,0.0002481833,0.00006678043,0.0002146621,0.0002481996,0.00002773668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001322684,0.00007225945,0.3799224,0.001472574,0.00007244135,0.000001406746,0.01067858,0.000007059858,0.0002023323,0.01537503,0.03976027,0.5523033],"study_design_scores_gemma":[0.0004676049,0.00001841854,0.06081485,0.0001534926,0.00001771877,0.00001508802,0.06282449,0.01097543,0.0003331443,0.00001220387,0.8641267,0.0002408737],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9774079,0.0005070569,0.0008240828,0.0006009495,0.0003956661,0.0007974813,0.000005933236,0.00005559243,0.01940538],"genre_scores_gemma":[0.9977864,0.00002188648,0.000001133558,0.0001242587,0.0003304215,0.000154926,0.00001581313,0.000008558522,0.001556611],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8243664,"threshold_uncertainty_score":0.9987337,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2163528872","doi":"10.1287/isre.1060.0107","title":"Research Note: The Influence of Recommendations and Consumer Reviews on Evaluations of Websites","year":2006,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":501,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs; Amazon Catalyst","keywords":"Context (archaeology); Test (biology); Outcome (game theory); User-generated content; Empirical research; Causal inference; Consumer behaviour; Social commerce; Marketing; Empirical evidence; Social media; Advertising; Business; Computer science; World Wide Web; Economics; Econometrics","retraction":null,"screen_n_in":null,"score":{"opus":0.1537588018667078,"gpt":0.5024805639840547,"spread":0.348721762117347,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.02736279,0.0000498544,0.0001518233,0.000370173,0.0008534247,0.0002003576,0.0002669879,0.00007834564,0.000027824],"category_scores_gemma":[0.01045156,0.00003636453,0.00002972333,0.001235262,0.001025426,0.0006607022,0.00006118874,0.0002896023,0.0001662069],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009514497,"about_ca_system_score_gemma":0.0003584012,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008386258,"about_ca_topic_score_gemma":0.0004764091,"domain_scores_codex":[0.9944366,0.0029405,0.0006287787,0.00007844628,0.001642439,0.0002732149],"domain_scores_gemma":[0.9924864,0.004762183,0.0001963591,0.0002134827,0.002285878,0.00005576597],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008801094,0.0001861956,0.01218048,0.0008459275,0.0000316412,3.036369e-7,0.07584559,0.0007621563,0.000481368,0.572286,0.1656938,0.1715985],"study_design_scores_gemma":[0.0002156576,0.00008705734,0.02231447,0.000805631,0.000004401129,4.44238e-7,0.02816881,0.0001819415,0.00007308697,0.001865429,0.946201,0.00008213963],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.521824,0.0008837462,0.00002434121,0.003603184,0.0001740706,0.001910801,0.00005476747,0.00002229891,0.4715028],"genre_scores_gemma":[0.9975,0.0008878823,0.0000274898,0.00001290112,0.00007193648,0.0001375065,0.0000123562,0.000002807522,0.001347111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7805071,"threshold_uncertainty_score":0.998217,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2153807042","doi":"10.1287/isre.1100.0338","title":"Information Technology and Intangible Output: The Impact of IT Investment on Innovation Productivity","year":2011,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Intellectual Capital and Performance Analysis","field":"Business, Management and Accounting","cited_by":483,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Productivity; Production (economics); Investment (military); Industrial organization; Business; Quality (philosophy); Value (mathematics); Panel data; Marketing; Economics; Knowledge management; Microeconomics; Econometrics; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.09824132022742783,"gpt":0.3201289703897355,"spread":0.2218876501623077,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001945062,0.000095374,0.0001332996,0.002965729,0.0002380079,0.0002371603,0.0001980759,0.00007639875,0.00005827808],"category_scores_gemma":[0.0004596405,0.00005714553,0.0000329167,0.003592853,0.000137276,0.005361092,0.0001392141,0.000221838,0.0006677521],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007536202,"about_ca_system_score_gemma":0.00004903998,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002218401,"about_ca_topic_score_gemma":0.000009144394,"domain_scores_codex":[0.9987491,0.00002183319,0.0004887047,0.00005902028,0.0004782323,0.0002031345],"domain_scores_gemma":[0.997914,0.00003201685,0.0002961564,0.0002432255,0.001507809,0.000006780861],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0005145113,0.0001503402,0.02881031,0.00118024,0.0002425795,4.433668e-7,0.02129453,0.001099685,0.0002050816,0.8461677,0.04444499,0.05588953],"study_design_scores_gemma":[0.002903015,0.002078895,0.1540684,0.0008662363,0.00009910126,0.00004751953,0.1012988,0.1528312,0.007671863,0.03803199,0.538695,0.001407991],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8698776,0.00001807121,0.0002431781,0.0003816322,0.0000866415,0.0005694071,0.000004308504,0.00003565212,0.1287835],"genre_scores_gemma":[0.9994662,0.000007488283,0.000007062561,0.0001693604,0.00009382821,0.00007441429,0.00003981969,0.000003253077,0.000138588],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8081357,"threshold_uncertainty_score":0.8582825,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W1975984347","doi":"10.1287/isre.1120.0444","title":"From Use to Effective Use: A Representation Theory Perspective","year":2012,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Information Systems Theories and Implementation","field":"Social Sciences","cited_by":477,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal; University of British Columbia","funders":"","keywords":"Computer science; Information system; Perspective (graphical); Representation (politics); Information theory; Systems theory; Management science; Data science; Artificial intelligence; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.1582522872755142,"gpt":0.496116730655103,"spread":0.3378644433795888,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.008773705,0.000124237,0.000188827,0.0006505646,0.001204716,0.00177445,0.0002411162,0.0001339361,0.0002034951],"category_scores_gemma":[0.005032116,0.000117062,0.00006010738,0.001249452,0.0001492212,0.01807861,0.0001033224,0.0002290903,0.002673004],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001237986,"about_ca_system_score_gemma":0.0001667344,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.07001339,"about_ca_topic_score_gemma":0.0002074496,"domain_scores_codex":[0.994038,0.00272921,0.0006432189,0.0001350452,0.001756771,0.0006977131],"domain_scores_gemma":[0.9941683,0.002365169,0.000230774,0.0003289208,0.002571189,0.0003356091],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001093603,0.0000139865,0.00456251,0.0000130989,0.00003670621,1.51768e-7,0.4275856,0.00005561057,0.0000391668,0.5536788,0.009937302,0.003967755],"study_design_scores_gemma":[0.0003000762,0.00004201531,0.01330298,0.00004631509,0.000005285021,0.000001273569,0.537334,0.00006361575,0.000165295,0.000812452,0.4477808,0.000145836],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7267221,0.0001351364,0.0750365,0.001219164,0.004784238,0.01180067,0.0005474053,0.0004455733,0.1793092],"genre_scores_gemma":[0.9961087,0.00001159447,0.0001873764,0.0001629904,0.0009587231,0.0006663764,0.0001206298,0.00001027123,0.001773363],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5528663,"threshold_uncertainty_score":0.9992618,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2146982538","doi":"10.1287/isre.1070.0124","title":"Research Note—Investigating the Influence of the Functional Mechanisms of Online Product Presentations","year":2007,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":454,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Luonnontieteiden ja Tekniikan Tutkimuksen Toimikunta; Natural Sciences and Engineering Research Council of Canada","keywords":"Interactivity; Perception; Advertising; Product (mathematics); Presentation (obstetrics); The Internet; Computer science; Variety (cybernetics); Marketing; Psychology; Multimedia; Business; World Wide Web","retraction":null,"screen_n_in":null,"score":{"opus":0.1366267596288973,"gpt":0.4442622275808381,"spread":0.3076354679519407,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03078533,0.00005634854,0.0001114196,0.0002811634,0.001359997,0.00016811,0.0006315881,0.00008051208,0.000009320064],"category_scores_gemma":[0.01941147,0.00003587244,0.00004912857,0.002429859,0.001550415,0.000824161,0.000174974,0.0005365999,0.00002498385],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001231097,"about_ca_system_score_gemma":0.001092407,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007616994,"about_ca_topic_score_gemma":0.0008091643,"domain_scores_codex":[0.9933023,0.001598702,0.000652862,0.00009766049,0.003900297,0.0004481702],"domain_scores_gemma":[0.9918805,0.003602411,0.0002466656,0.0003069661,0.003868423,0.00009498568],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007745944,0.0001424452,0.01343655,0.000509905,0.00004633936,4.652579e-7,0.1444514,0.005073724,0.004786287,0.8043633,0.006313385,0.02079874],"study_design_scores_gemma":[0.0004619947,0.0001182914,0.4524082,0.0006997368,0.000008590623,0.000003304801,0.4623072,0.0006971814,0.004227349,0.0144289,0.06443398,0.0002052483],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.908444,0.00003459216,0.0003826119,0.002373093,0.0004581438,0.001249826,0.00003065168,0.00002528093,0.08700174],"genre_scores_gemma":[0.9984754,0.00000803702,0.00005799715,0.00001837354,0.0002273333,0.00004063346,0.000007536228,0.00000432835,0.001160341],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7899344,"threshold_uncertainty_score":0.9999401,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2148006377","doi":"10.1287/isre.14.4.317.24899","title":"The Influence of Business Managers' IT Competence on Championing IT","year":2003,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Information Technology Governance and Strategy","field":"Business, Management and Accounting","cited_by":451,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University; University of British Columbia; McGill University","funders":"","keywords":"Champion; LISREL; Competence (human resources); Structural equation modeling; Knowledge management; Business; Confirmatory factor analysis; Variance (accounting); Marketing; Management; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.03952443679933816,"gpt":0.2917416624444953,"spread":0.2522172256451571,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002743169,0.000113337,0.0001500872,0.0005088981,0.0007142898,0.0006220649,0.0005050996,0.0001021036,0.00002108448],"category_scores_gemma":[0.001154919,0.00008141714,0.00003186471,0.00155947,0.000206171,0.004162425,0.00008736207,0.0003092654,0.001579726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005818023,"about_ca_system_score_gemma":0.00008389234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004437995,"about_ca_topic_score_gemma":0.00001981499,"domain_scores_codex":[0.9978484,0.0000367175,0.0006737055,0.00008953202,0.0009746019,0.0003770395],"domain_scores_gemma":[0.9971412,0.0001924835,0.0004622143,0.000392634,0.001801093,0.00001037345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003263911,0.00001250914,0.001018223,0.0004305845,0.00001521399,0.000001370949,0.0003417351,0.01648224,0.00003509987,0.9657925,0.01389618,0.001941643],"study_design_scores_gemma":[0.0004265403,0.00001888163,0.00988712,0.0003371855,0.000002910787,0.00000627973,0.01166045,0.005071528,0.0001253414,0.000728053,0.9715718,0.0001639241],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3801306,0.00005521,0.0009317972,0.002682093,0.0004971821,0.0009466782,0.000005172415,0.0001261521,0.6146252],"genre_scores_gemma":[0.9986541,0.00005755101,0.00001072927,0.0005722732,0.00005868063,0.00007578275,0.000009420899,0.000005426883,0.000556069],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9650645,"threshold_uncertainty_score":0.9991977,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2142333951","doi":"10.1287/isre.1070.0133","title":"IS Application Capabilities and Relational Value in Interfirm Partnerships","year":2007,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":425,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"University of Michigan; University of Southern California","keywords":"Business; Relational view; Knowledge management; Leverage (statistics); Flexibility (engineering); Context (archaeology); Asset (computer security); Channel (broadcasting); Business value; Information sharing; Survey data collection; Industrial organization; Marketing; Computer science; Telecommunications; Microeconomics","retraction":null,"screen_n_in":null,"score":{"opus":0.1370104906458488,"gpt":0.3442281408655277,"spread":0.2072176502196789,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005842775,0.00008145208,0.00009670135,0.001325448,0.0001725781,0.000389826,0.0001221876,0.00007165375,0.00002887289],"category_scores_gemma":[0.0002037265,0.00007845387,0.00001556029,0.001104915,0.00007351939,0.002089233,0.0001301147,0.000206093,0.001020567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001377082,"about_ca_system_score_gemma":0.00002025868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003624631,"about_ca_topic_score_gemma":0.00006433798,"domain_scores_codex":[0.9984441,0.00002469279,0.0005583311,0.0001213726,0.0005825119,0.0002690289],"domain_scores_gemma":[0.9988975,0.0001104716,0.0001271479,0.0001652374,0.0006874969,0.00001214866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002538363,0.00001480881,0.0187807,0.0003710386,0.000004680126,3.448503e-7,0.0008783793,0.0000250528,0.00001162827,0.9731537,0.003189086,0.003545239],"study_design_scores_gemma":[0.0006890015,0.00001037902,0.02695479,0.00011139,0.000002634174,0.00000201228,0.02048614,0.05498,0.00003200071,0.005927937,0.8906127,0.0001909888],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1108032,0.00007210517,0.005676259,0.001531598,0.0003105727,0.001131656,0.000002308129,0.00008840155,0.8803838],"genre_scores_gemma":[0.99817,0.000002609227,0.00003687825,0.0004151554,0.0003040369,0.0000848364,0.00004752526,0.000005970221,0.0009330038],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9672257,"threshold_uncertainty_score":0.9997572,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3124342358","doi":"10.1287/isre.12.2.135.9698","title":"The Impact of E-Commerce Announcements on the Market Value of Firms","year":2001,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Corporate Finance and Governance","field":"Business, Management and Accounting","cited_by":359,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"","funders":"National Science Foundation","keywords":"Event study; Business; Brick and mortar; Shareholder; Quarter (Canadian coin); Intangible good; Value (mathematics); E-commerce; Market value; Digital goods; Finance; Commerce; Marketing; Economics; The Internet; Corporate governance; Microeconomics","retraction":null,"screen_n_in":null,"score":{"opus":0.06883829465620028,"gpt":0.3292163813732511,"spread":0.2603780867170508,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003089552,0.00007470947,0.0001179191,0.0001420935,0.0002707683,0.0002258618,0.000443584,0.00003451093,0.00005270557],"category_scores_gemma":[0.0003321079,0.00003859426,0.00006431344,0.0008806039,0.00009063857,0.001266042,0.00009216382,0.0001518011,0.0002804911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005822272,"about_ca_system_score_gemma":0.00005494698,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005548457,"about_ca_topic_score_gemma":0.00001770415,"domain_scores_codex":[0.9983612,0.0000508123,0.0004277937,0.00005726834,0.0008686393,0.0002342587],"domain_scores_gemma":[0.9981325,0.0002739443,0.0004617891,0.0003759132,0.0007495635,0.000006299487],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008965813,0.0001253529,0.2147552,0.000520077,0.0001222446,0.000002189058,0.0005801974,0.005519093,0.0002271954,0.09844863,0.658709,0.02009416],"study_design_scores_gemma":[0.0004405684,0.00006307933,0.4713421,0.0002523561,0.000003053434,0.000001566732,0.001046652,0.02394443,0.00001811696,0.0002904367,0.5025118,0.0000858063],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8385832,0.00006052343,0.0001322152,0.000826296,0.0001744224,0.0006617192,0.00002197896,0.00001215064,0.1595275],"genre_scores_gemma":[0.9985086,0.0000777181,6.543585e-7,0.00006903478,0.0001291316,0.00003771112,0.000009610651,0.000004367185,0.001163207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2565869,"threshold_uncertainty_score":0.8387644,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2096964374","doi":"10.1287/isre.1070.0122","title":"Information System Use–Related Activity: An Expanded Behavioral Conceptualization of Individual-Level Information System Use","year":2007,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":342,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"HEC Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Canada Research Chairs","keywords":"Conceptualization; Construct (python library); Task (project management); Focus (optics); Knowledge management; Computer science; Information system; Aggregate (composite); Order (exchange); Activity theory; Psychology; Data science; Business; Cognitive science; Engineering; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.4352578420442758,"gpt":0.467979034101757,"spread":0.0327211920574812,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.02297574,0.0003630461,0.0006865033,0.005864611,0.0006871119,0.003165049,0.001301415,0.001006825,0.00003270958],"category_scores_gemma":[0.002632809,0.0003173873,0.0001568824,0.004320771,0.0003460372,0.06200684,0.0003734183,0.0008327257,0.00125039],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008968631,"about_ca_system_score_gemma":0.0003645389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001046065,"about_ca_topic_score_gemma":0.00002557148,"domain_scores_codex":[0.9863284,0.001230418,0.004301248,0.0002414283,0.006967304,0.0009312285],"domain_scores_gemma":[0.9879854,0.0009370219,0.002447837,0.001362864,0.006846063,0.0004208567],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001415745,0.0004700104,0.4711525,0.001414278,0.0002323315,0.00001130847,0.1800412,0.004700285,0.0006541965,0.1911625,0.01079964,0.137946],"study_design_scores_gemma":[0.002996649,0.0005746541,0.5583935,0.0005578311,0.00005720906,0.000296472,0.393419,0.02003818,0.003017011,0.00001865137,0.01984621,0.0007846221],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9126254,0.000009577874,0.08154809,0.00002506591,0.001248785,0.001996477,0.0006327221,0.0006039559,0.001309966],"genre_scores_gemma":[0.9985495,0.000002935644,0.000362723,0.00003134551,0.00004307565,0.0001271487,0.0007025253,0.00001635442,0.0001644555],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2133778,"threshold_uncertainty_score":0.9999278,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2104379246","doi":"10.1287/isre.2015.0588","title":"Research Note—Why Following Friends Can Hurt You: An Exploratory Investigation of the Effects of Envy on Social Networking Sites among College-Age Users","year":2015,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Impact of Technology on Adolescents","field":"Social Sciences","cited_by":302,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Dysfunctional family; Psychology; Context (archaeology); Mood; Social comparison theory; Social media; Exploratory research; Social psychology; Cognition; Consumption (sociology); Life satisfaction; Anxiety; Clinical psychology; Sociology","retraction":null,"screen_n_in":null,"score":{"opus":0.1508711287961275,"gpt":0.4111247984387896,"spread":0.2602536696426621,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.01592857,0.0001253546,0.0002763682,0.0008904253,0.001408095,0.0002127966,0.0009726138,0.0003945403,0.000001956925],"category_scores_gemma":[0.002437126,0.000107393,0.0000849005,0.002649132,0.00142626,0.001575011,0.0002413797,0.0008464485,0.0000175444],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008712237,"about_ca_system_score_gemma":0.001025562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005107053,"about_ca_topic_score_gemma":0.001802554,"domain_scores_codex":[0.9909596,0.003612797,0.0006119201,0.0001626814,0.003946533,0.000706401],"domain_scores_gemma":[0.9970787,0.0006239429,0.0003361449,0.0004244666,0.001295964,0.0002407629],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.000264238,0.0001729941,0.2866943,0.001104994,0.0001641607,0.00001883812,0.6371586,0.0004105751,0.004781583,0.01703457,0.04660238,0.005592723],"study_design_scores_gemma":[0.004365181,0.001329018,0.1383453,0.003254951,0.0000415768,0.000002070873,0.802027,0.002338367,0.02762149,0.001938739,0.01798118,0.0007551073],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9906014,0.00003784776,0.0000170803,0.0004318349,0.0008316889,0.001347198,0.00001385653,0.00007456283,0.006644505],"genre_scores_gemma":[0.999443,0.000006709146,0.00001387107,0.00003584139,0.0002306261,0.00008482501,0.00001381014,0.00001415652,0.0001571509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1648683,"threshold_uncertainty_score":0.9998919,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2018467585","doi":"10.1287/isre.1100.0295","title":"Identifying and Testing the Inhibitors of Technology Usage Intentions","year":2010,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":296,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"University of British Columbia; Louisiana State University","keywords":"Flexibility (engineering); Reliability (semiconductor); Identification (biology); Set (abstract data type); Multilevel model; Field (mathematics); Empirical research; Psychology; Test (biology); Knowledge management; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.3210003747993892,"gpt":0.475104059957946,"spread":0.1541036851585568,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01013331,0.00006481392,0.0001389705,0.001897101,0.0004967044,0.0004389495,0.0007601315,0.0002025325,0.00002598355],"category_scores_gemma":[0.01121098,0.0000400145,0.00003050806,0.00287372,0.0006787739,0.001002574,0.0004132049,0.0008518892,0.0002317138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001596446,"about_ca_system_score_gemma":0.0000851189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00010429,"about_ca_topic_score_gemma":0.00003789583,"domain_scores_codex":[0.9970819,0.0001561636,0.0008319125,0.0001337176,0.001568152,0.0002281652],"domain_scores_gemma":[0.9960155,0.0009100336,0.0002879642,0.0005930756,0.002144171,0.00004922643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001301927,0.00004924135,0.4851002,0.00006143339,0.00002002141,0.000003127598,0.00428302,0.00002345458,0.08423439,0.1917174,0.006239639,0.2282551],"study_design_scores_gemma":[0.001110473,0.0002162188,0.5835695,0.0002722704,0.00001418311,0.0005755674,0.1479948,0.008806118,0.01339031,0.0265405,0.217116,0.0003940834],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9901725,0.00004767915,0.00151543,0.001259073,0.0005269061,0.0003554009,0.000008273095,0.00008769099,0.006027057],"genre_scores_gemma":[0.9992327,0.000003359797,0.0004375136,0.00000934302,0.0000234836,0.00004927793,9.370496e-7,0.000003086771,0.0002402806],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.227861,"threshold_uncertainty_score":0.997118,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2170219224","doi":"10.1287/isre.1070.0163","title":"Addressing the <i>What</i> and <i>How</i> of Online Services: Positioning Supporting-Services Functionality and Service Quality for Business-to-Consumer Success","year":2008,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Customer Service Quality and Loyalty","field":"Business, Management and Accounting","cited_by":273,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; University of British Columbia","keywords":"Vendor; Core product; Software deployment; Service (business); Product (mathematics); Services computing; Computer science; Quality (philosophy); Order (exchange); Marketing; Service design; Business; Process management; Knowledge management; Service provider; World Wide Web; Web service","retraction":null,"screen_n_in":null,"score":{"opus":0.1815000319607236,"gpt":0.3881738104078881,"spread":0.2066737784471644,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004650463,0.0002013935,0.0003582007,0.0003978933,0.001274263,0.001714044,0.0003969908,0.0001258969,0.00001169465],"category_scores_gemma":[0.0001215364,0.0001585641,0.00004523484,0.001476114,0.0001552342,0.008327914,0.0003980255,0.0002393709,0.00003071068],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003248017,"about_ca_system_score_gemma":0.00008445358,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01806175,"about_ca_topic_score_gemma":0.001661317,"domain_scores_codex":[0.9973176,0.0001390046,0.0008333802,0.0002655171,0.001005656,0.0004389096],"domain_scores_gemma":[0.9943783,0.0005185845,0.0006515715,0.0003847597,0.004014357,0.00005241698],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003349823,0.0007730866,0.6070048,0.249365,0.0007061811,0.000008850395,0.05226944,0.003663528,0.002942528,0.03549974,0.0105369,0.03388009],"study_design_scores_gemma":[0.002674764,0.00004173985,0.5897738,0.002471965,0.00008721621,0.00005864565,0.08073373,0.02507086,0.00009017511,0.0003451128,0.2979195,0.0007324856],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843026,0.0005544883,0.0004710951,0.01210342,0.00037709,0.001299878,0.0001212528,0.00007692826,0.0006932572],"genre_scores_gemma":[0.9922811,0.00006824148,0.00007903737,0.006390884,0.0004395992,0.000138093,0.0005125952,0.000016533,0.00007388315],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2873826,"threshold_uncertainty_score":0.9993223,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2900211783","doi":"10.1287/isre.2017.0750","title":"Extrinsic versus Intrinsic Rewards for Contributing Reviews in an Online Platform","year":2018,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":264,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Incentive; Context (archaeology); Quality (philosophy); Natural experiment; Amazon rainforest; Economics; Business; Public economics; Microeconomics; Geography; Medicine","retraction":null,"screen_n_in":null,"score":{"opus":0.3461862401444837,"gpt":0.4921240923290326,"spread":0.1459378521845489,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01765054,0.00009128913,0.000260063,0.000386655,0.0007016631,0.0005625958,0.0003610795,0.0001678823,0.00001502458],"category_scores_gemma":[0.01569298,0.0000858045,0.00005054156,0.0009820523,0.0003154713,0.002292305,0.00007067288,0.00025585,0.0002122692],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005343545,"about_ca_system_score_gemma":0.0004568432,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002213787,"about_ca_topic_score_gemma":0.004440433,"domain_scores_codex":[0.9969206,0.0005859528,0.0007004748,0.0001363844,0.000906046,0.0007504974],"domain_scores_gemma":[0.9967359,0.001204819,0.0001793181,0.0002079323,0.00147231,0.0001997403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008215101,0.00009436339,0.002584962,0.0003027009,0.00001447565,0.000001438586,0.06976451,0.000003168057,0.00001143334,0.06920203,0.007231191,0.8499682],"study_design_scores_gemma":[0.001258525,0.0003236264,0.001394376,0.0002807194,0.000001985253,3.322654e-7,0.0476669,0.0004581526,0.000008074181,0.0002132935,0.9482538,0.0001402064],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8013797,0.0004369246,0.0002316868,0.0006065688,0.003271675,0.003989136,0.0001009531,0.0001675926,0.1898158],"genre_scores_gemma":[0.9974933,0.000142897,0.00007335898,0.00003970894,0.001521114,0.0001936241,0.00008387357,0.00000733244,0.0004447974],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9410226,"threshold_uncertainty_score":0.9925982,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2059528567","doi":"10.1287/isre.1120.0423","title":"<b>Research Commentary</b>—Generalizability of Information Systems Research Using Student Subjects—A Reflection on Our Practices and Recommendations for Future Research","year":2012,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":258,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Lethbridge; Western University","funders":"","keywords":"Generalizability theory; Context (archaeology); Psychology; Empirical research; Salient; Field (mathematics); Value (mathematics); Subject (documents); Epistemology; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.3854607731371599,"gpt":0.5507817807684231,"spread":0.1653210076312632,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.1134709,0.0002799449,0.0004711405,0.006185091,0.003826939,0.003456876,0.001865352,0.0004146975,0.000006248855],"category_scores_gemma":[0.004661101,0.0002633347,0.00007935034,0.008805315,0.0003587762,0.01677783,0.001421269,0.00262889,0.0001944186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00221143,"about_ca_system_score_gemma":0.0008232171,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005919784,"about_ca_topic_score_gemma":0.00005564969,"domain_scores_codex":[0.9783041,0.01014846,0.002152598,0.0005101534,0.006793038,0.002091581],"domain_scores_gemma":[0.9737989,0.005103383,0.0008999521,0.001693548,0.01807265,0.0004316114],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000649899,0.001573902,0.02256125,0.004891612,0.0003455029,0.000001402883,0.1093746,0.00332228,0.00143714,0.558497,0.2674628,0.02988263],"study_design_scores_gemma":[0.00164906,0.001352899,0.004266042,0.000652277,0.000009831752,0.00006231122,0.2183336,0.03864652,0.001158314,0.0004999021,0.732888,0.0004812955],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7161581,0.002052069,0.1454653,0.06743458,0.01173342,0.03808518,0.0007686404,0.0007893335,0.01751332],"genre_scores_gemma":[0.9918161,0.0001452668,0.004787899,0.0001055336,0.001028173,0.001725566,0.0002147507,0.00002812057,0.00014859],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5579971,"threshold_uncertainty_score":0.9999819,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2116965437","doi":"10.1287/isre.11.1.37.11782","title":"Assessing User Competence: Conceptualization and Measurement","year":2000,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":255,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"","keywords":"Conceptualization; CLARITY; Competence (human resources); Computer science; Psychology; Knowledge management; Social psychology; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.4518164221058169,"gpt":0.501708967394371,"spread":0.04989254528855408,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01122849,0.00008567591,0.0001654206,0.0006618046,0.0004706088,0.00199643,0.0004105435,0.0001460432,0.0006794211],"category_scores_gemma":[0.001170015,0.00006556756,0.0000248967,0.001099096,0.0002374066,0.003713951,0.00007228614,0.0002710009,0.002214183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001105101,"about_ca_system_score_gemma":0.0001227068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008502482,"about_ca_topic_score_gemma":0.000006228177,"domain_scores_codex":[0.9944,0.0005778446,0.000789337,0.0001876797,0.003765714,0.0002793755],"domain_scores_gemma":[0.9969581,0.0002445207,0.0001340234,0.0004067296,0.002148585,0.0001079879],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007226632,0.0001011182,0.1752456,0.00006965947,0.00003149125,0.00000761787,0.0116628,0.001586051,0.0007504446,0.07932299,0.06177548,0.6693745],"study_design_scores_gemma":[0.0006809935,0.00005619402,0.2203454,0.00008382248,0.000002868362,0.00004438131,0.02426735,0.009695554,0.0001062705,0.000611767,0.7439284,0.0001769657],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9581367,0.0002461702,0.009035399,0.0008142439,0.0002919603,0.0006406969,0.000008944967,0.0001795906,0.03064629],"genre_scores_gemma":[0.9983856,0.00002695255,0.0001489366,0.00007707471,0.00002809226,0.0000405665,0.000006031299,0.000003935807,0.001282779],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6821529,"threshold_uncertainty_score":0.9990396,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4311111985","doi":"10.1287/isre.2022.1179","title":"Bots with Feelings: Should AI Agents Express Positive Emotion in Customer Service?","year":2022,"lang":"en","type":"article","venue":"Information Systems Research","topic":"AI in Service Interactions","field":"Computer Science","cited_by":254,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Feeling; Service (business); Customer service; Human intelligence; Psychology; Emotional intelligence; Negative emotion; Expression (computer science); Social psychology; Computer science; Marketing; Business; Developmental psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.08324957594591327,"gpt":0.3760896349337414,"spread":0.2928400589878281,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001956214,0.0001294171,0.0001586563,0.001118698,0.0005787077,0.0007235431,0.001191683,0.00006287639,0.00008210693],"category_scores_gemma":[0.00003790184,0.0001223202,0.00002792066,0.002589915,0.00002465174,0.005618978,0.000815801,0.000920758,0.0009422839],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007626113,"about_ca_system_score_gemma":0.0002300127,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003140368,"about_ca_topic_score_gemma":0.0000841624,"domain_scores_codex":[0.9960958,0.0005976328,0.0005368882,0.000237631,0.002065185,0.0004668045],"domain_scores_gemma":[0.9977695,0.0001865708,0.0001682948,0.0005907674,0.001176667,0.0001081723],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004873867,0.0007233158,0.009070193,0.001089454,0.0001876263,0.000160737,0.2682266,0.5852961,0.001067556,0.04349373,0.07362665,0.01657069],"study_design_scores_gemma":[0.001209156,0.0002442163,0.006689256,0.0003055336,0.000003235906,0.0002664476,0.03258079,0.7827033,0.0003313112,0.0001042437,0.1751572,0.0004052958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5544808,0.0001448203,0.3001051,0.02617874,0.004290461,0.007283577,0.0002215925,0.0009809635,0.1063139],"genre_scores_gemma":[0.9973539,0.000002842611,0.0003813969,0.00119009,0.00004568498,0.0006042247,0.00005077958,0.0000103663,0.0003607819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4428731,"threshold_uncertainty_score":0.9998356,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2559201289","doi":"10.1287/isre.2016.0682","title":"Special Section Introduction—Online Community as Space for Knowledge Flows","year":2016,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Open Source Software Innovations","field":"Computer Science","cited_by":251,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Tacit knowledge; Knowledge management; Value (mathematics); Sociality; Space (punctuation); Section (typography); Relation (database); Sociology; Computer science; Public relations; Data science; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.09585398964156343,"gpt":0.3828773257353712,"spread":0.2870233360938078,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005044595,0.0001241484,0.0001695445,0.0008296892,0.001046666,0.0007124743,0.001066174,0.0001323849,0.00004095178],"category_scores_gemma":[0.002447192,0.0000953601,0.00005420991,0.001744269,0.00009381023,0.004580616,0.0004141835,0.0004576379,0.001701576],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005064108,"about_ca_system_score_gemma":0.0003570575,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002843471,"about_ca_topic_score_gemma":0.00007457565,"domain_scores_codex":[0.9974344,0.0006316244,0.0006095848,0.0001733219,0.0007276986,0.0004233645],"domain_scores_gemma":[0.9943025,0.001048274,0.0001684045,0.0009713244,0.003400848,0.0001086171],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005369034,0.0001852028,0.0001979212,0.0001987809,0.00004130823,3.657275e-7,0.01086992,0.0001887668,0.0008834678,0.299781,0.5625416,0.125058],"study_design_scores_gemma":[0.0005856147,0.0001695874,0.0003481769,0.00005602303,0.00000120664,0.00003253492,0.00221557,0.003192018,0.0003034456,0.0007251468,0.9922345,0.0001361292],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03361022,0.0000183207,0.9193422,0.009238384,0.009956546,0.001990411,0.00008456717,0.0004433249,0.02531609],"genre_scores_gemma":[0.8940651,0.00002560038,0.01722734,0.000163833,0.06268975,0.001259137,0.0002644389,0.00004942259,0.02425532],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9021148,"threshold_uncertainty_score":0.9990757,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2126589862","doi":"10.1287/isre.1060.0093","title":"The Effects of Trust-Assuring Arguments on Consumer Trust in Internet Stores: Application of Toulmin's Model of Argumentation","year":2006,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Technology Adoption and User Behaviour","field":"Decision Sciences","cited_by":239,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia; University of New Brunswick","funders":"","keywords":"Argument (complex analysis); Argumentation theory; The Internet; Computer science; Internet privacy; Business; World Wide Web; Epistemology","retraction":null,"screen_n_in":null,"score":{"opus":0.08431256690785828,"gpt":0.4065179611357309,"spread":0.3222053942278726,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004480059,0.00008811145,0.0002422923,0.001098907,0.00007324183,0.0000722551,0.0006005786,0.0001363059,0.000004679393],"category_scores_gemma":[0.0009236386,0.00006144441,0.00005228846,0.000868376,0.0002136035,0.0005597748,0.00009031344,0.0002177212,0.00005661993],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001198839,"about_ca_system_score_gemma":0.00007029234,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008114008,"about_ca_topic_score_gemma":0.00004586605,"domain_scores_codex":[0.996052,0.0003042216,0.001429309,0.0001422495,0.001872165,0.0002000704],"domain_scores_gemma":[0.99678,0.001114226,0.0007279718,0.0005107918,0.0008384201,0.00002857035],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007171078,0.0006075113,0.690402,0.0007567464,0.00005846926,0.000001225002,0.007838011,0.03048368,0.02358245,0.1380643,0.005556605,0.101932],"study_design_scores_gemma":[0.004103196,0.00055834,0.328547,0.0005659143,0.00001579541,0.000004208649,0.01258098,0.5093975,0.1328806,0.005393551,0.005659896,0.0002929889],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9888101,0.00006463213,0.008370701,0.00004729997,0.0001250012,0.0009240726,0.0000160621,0.00001507059,0.001627078],"genre_scores_gemma":[0.9992207,0.00001583468,0.00008028418,0.000004277677,0.000006308083,0.0001525492,0.00001115708,0.000004362359,0.0005045169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4789138,"threshold_uncertainty_score":0.2505631,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2089398501","doi":"10.1287/isre.1080.0194","title":"Research Note—Social Interactions and the “Digital Divide”: Explaining Variations in Internet Use","year":2009,"lang":"en","type":"article","venue":"Information Systems Research","topic":"ICT Impact and Policies","field":"Engineering","cited_by":234,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"Harvard University","keywords":"The Internet; Digital divide; Ethnic group; Social media; Empirical research; Internet privacy; Psychology; Business; Sociology; World Wide Web; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.100660243005037,"gpt":0.39484559665046,"spread":0.294185353645423,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.002837867,0.00008388845,0.0001334739,0.00092689,0.0003075046,0.001790752,0.0001888843,0.00007512448,0.00001053321],"category_scores_gemma":[0.0006477104,0.00006420696,0.00002644571,0.00083209,0.0001231572,0.002993176,0.0000689468,0.000777463,0.0002001247],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000215789,"about_ca_system_score_gemma":0.00004206239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00101414,"about_ca_topic_score_gemma":0.00005014788,"domain_scores_codex":[0.998243,0.0002809538,0.0004065222,0.00004020744,0.0006080494,0.0004212595],"domain_scores_gemma":[0.9982594,0.001229566,0.00002831007,0.000149741,0.0002701733,0.00006284639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002502886,0.00005104245,0.001688898,0.00020619,0.00007364135,0.000003308089,0.5969311,0.007511447,0.000155675,0.2454584,0.06066729,0.0870027],"study_design_scores_gemma":[0.003291553,0.0001525532,0.06116501,0.0004256658,0.000005723134,0.00008521375,0.05924527,0.366103,0.0001132635,0.001151968,0.5078176,0.000443193],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.82938,0.0001380241,0.008259447,0.002529967,0.0006039776,0.00142179,0.00007334025,0.0002556348,0.1573378],"genre_scores_gemma":[0.9991184,0.00002212678,0.000007226024,0.00002274087,0.0001620633,0.00007254286,0.00002636923,0.000007055899,0.0005614036],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5376859,"threshold_uncertainty_score":0.9992455,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2043995441","doi":"10.1287/isre.1070.0141","title":"Using Self-Regulatory Learning to Enhance E-Learning-Based Information Technology Training","year":2008,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":223,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Educational technology; Knowledge management; Experiential learning; Active learning (machine learning); Computer science; Learning sciences; Social learning; Blended learning; Cooperative learning; Synchronous learning; Self-regulated learning; Cognition; Psychology; Mathematics education; Artificial intelligence; Teaching method","retraction":null,"screen_n_in":null,"score":{"opus":0.1149481903223269,"gpt":0.4065481806372084,"spread":0.2915999903148815,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005129514,0.0001169283,0.0001875525,0.002016083,0.002702269,0.0004403811,0.0004221385,0.0001982591,0.00004299937],"category_scores_gemma":[0.001495457,0.0001283098,0.00004253079,0.002326052,0.000171811,0.003211747,0.0001424576,0.0006247651,0.00138157],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000555285,"about_ca_system_score_gemma":0.0005526571,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005532323,"about_ca_topic_score_gemma":0.00003488267,"domain_scores_codex":[0.9967617,0.0004752702,0.0005678561,0.0001270998,0.001388954,0.0006791428],"domain_scores_gemma":[0.9982078,0.0001622664,0.0001988198,0.0001905448,0.00107733,0.0001632066],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00007342704,0.00004882826,0.02341015,0.0006103954,0.00008298791,0.000008916083,0.6581067,0.2045066,0.0002402968,0.03631063,0.003089398,0.07351156],"study_design_scores_gemma":[0.0002291133,0.00007315367,0.0005229081,0.0001444549,0.000003339643,0.00000320395,0.09802609,0.07704222,0.0001778593,0.00001924102,0.8235398,0.0002186076],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7132707,0.00008965276,0.04081143,0.0005479471,0.0006229355,0.001815293,0.000001774837,0.001229137,0.2416111],"genre_scores_gemma":[0.9978051,0.00001396121,0.0006725574,0.00003508158,0.0001484151,0.00009658707,0.00001299542,0.000008457366,0.001206799],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8204504,"threshold_uncertainty_score":0.999396,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2622648565","doi":"10.1287/isre.2017.0702","title":"How Can We Develop Contextualized Theories of Effective Use? A Demonstration in the Context of Community-Care Electronic Health Records","year":2017,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Electronic Health Records Systems","field":"Health Professions","cited_by":217,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Affordance; Context (archaeology); Consistency (knowledge bases); Computer science; Knowledge management; Action (physics); Health care; Data science; Human–computer interaction; Political science; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.1645386420085864,"gpt":0.4974330782644239,"spread":0.3328944362558375,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.02814049,0.0002070511,0.0008183306,0.0006231532,0.003258239,0.0002183254,0.001120633,0.0003233817,0.000005894046],"category_scores_gemma":[0.007266987,0.0001502056,0.00006728285,0.00067424,0.0004090806,0.001554154,0.0001793713,0.002936424,0.00002314945],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001701228,"about_ca_system_score_gemma":0.007310419,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.09825425,"about_ca_topic_score_gemma":0.08673347,"domain_scores_codex":[0.973049,0.02233742,0.002005056,0.0001354699,0.001244867,0.001228209],"domain_scores_gemma":[0.9852588,0.007358154,0.002290468,0.001330159,0.003638121,0.0001243206],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0006068204,0.00007144589,0.05281693,0.01234481,0.00009012337,5.697355e-7,0.6205289,0.000004675866,0.00007589642,0.2138121,0.00285637,0.09679141],"study_design_scores_gemma":[0.002970463,0.001170237,0.0330965,0.003063108,0.000005200467,0.000008858308,0.8932607,0.0001869653,0.0001403463,0.0006797696,0.06524215,0.000175666],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9469258,0.002412732,0.001798543,0.01338729,0.001000136,0.02120092,0.0003555783,0.00007514239,0.0128439],"genre_scores_gemma":[0.9970948,0.0004279345,0.00001626821,0.0001976626,0.00007799117,0.001824326,0.0001034961,0.0000181337,0.0002394388],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2727319,"threshold_uncertainty_score":0.9993638,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2123314147","doi":"10.1287/isre.1040.0022","title":"Impact of Environmental Uncertainty and Task Characteristics on User Satisfaction with Data","year":2004,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Big Data and Business Intelligence","field":"Business, Management and Accounting","cited_by":190,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of Toronto; University of Windsor","keywords":"Task (project management); Computer science; Disjoint sets; User satisfaction; Knowledge management; Human–computer interaction; Mathematics; Management; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.1138098357192076,"gpt":0.3553192017997903,"spread":0.2415093660805827,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006294818,0.00009533481,0.0001265903,0.0003205702,0.0001361018,0.0003790043,0.0002338622,0.00005223951,0.00005378959],"category_scores_gemma":[0.0000830815,0.00006608396,0.00001219776,0.0002940017,0.0001101504,0.004295055,0.0002041299,0.0001504381,0.0002873097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009830882,"about_ca_system_score_gemma":0.00004603091,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006579715,"about_ca_topic_score_gemma":0.00005662768,"domain_scores_codex":[0.9987785,0.00001195251,0.0002854702,0.0001261818,0.0006142848,0.0001835895],"domain_scores_gemma":[0.9991822,0.00003512057,0.0001845827,0.0004272504,0.0001562642,0.0000146098],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001402964,0.0002976419,0.7987739,0.002131225,0.0002241756,0.00001037867,0.0008031087,0.008428521,0.002256457,0.01949084,0.006197574,0.1599831],"study_design_scores_gemma":[0.000652945,0.0001014251,0.9591833,0.0002904384,0.00001141631,0.00001481745,0.0007110977,0.00615159,0.00002172079,0.00004266034,0.03263546,0.0001831106],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9970096,0.00001459403,0.001044883,0.00005809292,0.0000921819,0.000364963,0.0003214197,0.00002022326,0.001074024],"genre_scores_gemma":[0.9990442,0.00003128607,0.0000136737,0.00002465876,0.0001481265,0.00001038455,0.0007030418,0.000006233483,0.00001839173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1604093,"threshold_uncertainty_score":0.9946606,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2098411937","doi":"10.1287/isre.2014.0562","title":"The Emergence of Online Community Leadership","year":2015,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Knowledge Management and Sharing","field":"Social Sciences","cited_by":189,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Centrality; Online community; Online discussion; Public relations; Online chat; Computer science; Core (optical fiber); Psychology; Knowledge management; World Wide Web; The Internet; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.7201906096229189,"gpt":0.5110078384743374,"spread":0.2091827711485815,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01524293,0.00003103404,0.00006137128,0.0001294155,0.001057949,0.0001984275,0.0005962791,0.00003829285,0.00001106593],"category_scores_gemma":[0.001935014,0.00002255526,0.00001805449,0.0005858221,0.0002842663,0.0007217327,0.0001381547,0.000274919,0.0002313875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005984904,"about_ca_system_score_gemma":0.0001828595,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007884327,"about_ca_topic_score_gemma":0.002308896,"domain_scores_codex":[0.9972226,0.001230476,0.0002760816,0.00002530167,0.0009983511,0.0002471923],"domain_scores_gemma":[0.9981501,0.0003821966,0.00007663888,0.0002196338,0.001091691,0.00007974569],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000479045,0.00007253585,0.00952318,0.000341222,0.00003572896,3.318026e-7,0.4619658,0.0002289129,0.00001240165,0.3461874,0.1319557,0.04962883],"study_design_scores_gemma":[0.00007959739,0.00001850103,0.0005921509,0.00002316137,6.175371e-7,6.641773e-8,0.5847601,0.0008856571,0.000008978714,0.0001862255,0.4134186,0.00002629315],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.06010116,0.0005164496,0.0003244301,0.001710646,0.0007451351,0.0006512237,0.000006868489,0.00005539761,0.9358887],"genre_scores_gemma":[0.9944121,0.00004389561,0.000007382621,0.000008525052,0.00009117365,0.00001545893,0.000008203681,0.000001578049,0.005411638],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.934311,"threshold_uncertainty_score":0.9987223,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2151872462","doi":"10.1287/isre.13.1.91.93","title":"Research Report: Better Theory Through Measurement—Developing a Scale to Capture Consensus on Appropriation","year":2002,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Team Dynamics and Performance","field":"Psychology","cited_by":187,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Athabasca University; Western University","funders":"","keywords":"Appropriation; Construct (python library); Computer science; Nomological network; Scale (ratio); Development theory; Data science; Context (archaeology); Construct validity; Management science; Epistemology; Psychology; Structural equation modeling; Machine learning; Psychometrics; Engineering; Economics","retraction":null,"screen_n_in":null,"score":{"opus":0.2499821257651017,"gpt":0.4292586744460278,"spread":0.1792765486809261,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.01636199,0.0001716853,0.0002317919,0.0009085008,0.0006505426,0.000390177,0.0004175558,0.0002788753,0.0003530649],"category_scores_gemma":[0.0006372622,0.0001484644,0.00005082853,0.001404117,0.0001378508,0.0004548719,0.0001220922,0.001079942,0.009593582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006751532,"about_ca_system_score_gemma":0.0001150899,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000760259,"about_ca_topic_score_gemma":0.00003785267,"domain_scores_codex":[0.9932402,0.001409021,0.0008989697,0.0003450538,0.003195787,0.0009109738],"domain_scores_gemma":[0.9957259,0.0004198503,0.0001747315,0.0009047227,0.002624106,0.0001506824],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006912391,0.0002401544,0.002816723,0.0006972672,0.0002287464,0.000147479,0.1650487,0.001000316,0.000340646,0.2292215,0.5439265,0.05564069],"study_design_scores_gemma":[0.001196615,0.0003517476,0.006972897,0.0005338371,0.000005135847,0.0003857061,0.02973725,0.005135377,0.0001497241,0.001089509,0.9539508,0.0004913776],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.3021869,0.0003696788,0.01322975,0.009758445,0.002516126,0.003811692,0.00006586632,0.0002167021,0.6678448],"genre_scores_gemma":[0.991528,0.00001099326,0.0003463094,0.0004259172,0.0003351438,0.0005926214,0.00003581128,0.00002395233,0.006701297],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6893411,"threshold_uncertainty_score":0.9911776,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2046989664","doi":"10.1287/isre.1100.0281","title":"Why Do Software Firms Fail? Capabilities, Competitive Actions, and Firm Survival in the Software Industry from 1995 to 2007","year":2010,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Firm Innovation and Growth","field":"Economics, Econometrics and Finance","cited_by":172,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Industrial organization; Competitive advantage; Dynamic capabilities; Software; Resource (disambiguation); Business; Function (biology); Marketing; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.07509571344400447,"gpt":0.3044475520322402,"spread":0.2293518385882358,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003083172,0.0001259918,0.0002480989,0.0007126267,0.0002759664,0.0006497119,0.0003610061,0.0003119801,0.0004598067],"category_scores_gemma":[0.001504494,0.0001143529,0.00003120275,0.0009288097,0.0001167715,0.001119049,0.0001068272,0.001262076,0.0008674807],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001369995,"about_ca_system_score_gemma":0.00006455312,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009953545,"about_ca_topic_score_gemma":0.0007855131,"domain_scores_codex":[0.9983147,0.00009527327,0.0007748805,0.0002169315,0.0002532891,0.0003449667],"domain_scores_gemma":[0.9983459,0.0006413492,0.0001687707,0.000429943,0.0003140419,0.00009997829],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005438132,0.00006336199,0.5790482,0.0002002461,0.00003908895,0.000002903103,0.02171875,0.00008834502,0.000007613635,0.3154542,0.08092824,0.002394729],"study_design_scores_gemma":[0.0004108335,0.00004052946,0.1532748,0.00004325364,5.96011e-7,0.000004997517,0.01652511,0.0002052298,0.000006962867,0.001594314,0.8277243,0.0001690425],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9653291,0.0002759802,0.002413725,0.003807706,0.00170473,0.001448712,0.001856491,0.00008002153,0.0230836],"genre_scores_gemma":[0.9979749,0.0000149046,0.0002680816,0.0007959513,0.0002063852,0.0002094324,0.000176599,0.00001120679,0.0003424792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7467961,"threshold_uncertainty_score":0.9999105,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2012991702","doi":"10.1287/isre.1050.0079","title":"Conceptualizing Systems for Understanding: An Empirical Test of Decomposition Principles in Object-Oriented Analysis","year":2006,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Software Engineering Research","field":"Computer Science","cited_by":162,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"University of British Columbia; University of Georgia","keywords":"Operationalization; Domain model; Computer science; Unified Modeling Language; Domain (mathematical analysis); Meaning (existential); Empirical research; Cohesion (chemistry); Conceptual model; Domain analysis; Knowledge management; Psychology; Epistemology; Domain knowledge; Software development; Programming language; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.1489936296757121,"gpt":0.4095988608512627,"spread":0.2606052311755506,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004492063,0.0001230295,0.0003280142,0.002454591,0.0001657937,0.0005305002,0.0006513654,0.000127982,0.000001413761],"category_scores_gemma":[0.00104649,0.0001193576,0.00007563658,0.004077861,0.00007240145,0.001966582,0.0001445982,0.0002303103,0.00001214907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008645969,"about_ca_system_score_gemma":0.0002187346,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001381418,"about_ca_topic_score_gemma":0.00006540525,"domain_scores_codex":[0.9966084,0.0003214093,0.0009489378,0.0002475459,0.001348673,0.0005250727],"domain_scores_gemma":[0.9951863,0.002985603,0.0001800227,0.0005606015,0.0009746987,0.0001127208],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004543996,0.0001980914,0.2716734,0.0008849375,0.0001097987,0.000005406873,0.005460516,0.4479405,0.0005325362,0.2721729,0.0008318491,0.0001447055],"study_design_scores_gemma":[0.0005547562,0.0001897361,0.02545636,0.00009123188,0.000005877865,0.000006690762,0.002471541,0.9692299,0.0002692275,0.0001016615,0.001485765,0.0001372465],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1064804,0.0001269054,0.8914642,0.00004107517,0.0001649634,0.001015443,0.00003024423,0.0001341446,0.0005425629],"genre_scores_gemma":[0.997972,0.000003794449,0.001564828,0.000002696407,0.00005399113,0.0002449491,0.0001049189,0.000008090915,0.00004473327],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8914916,"threshold_uncertainty_score":0.5115626,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2139204976","doi":"10.1287/isre.2014.0522","title":"<b>Research Note</b>—Influence Techniques in Phishing Attacks: An Examination of Vulnerability and Resistance","year":2014,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":159,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"University of British Columbia; Temple University","keywords":"Phishing; Persuasion; Vulnerability (computing); Computer security; Espionage; Internet privacy; Industrial espionage; Computer science; Psychology; Social psychology; World Wide Web; The Internet; Political science; Law","retraction":null,"screen_n_in":null,"score":{"opus":0.06586017334989017,"gpt":0.3913550503943983,"spread":0.3254948770445082,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03004212,0.00008878196,0.0001740021,0.001181237,0.0002928386,0.0006917514,0.0007408531,0.0001489036,0.000001451929],"category_scores_gemma":[0.001991267,0.00008641341,0.00001549038,0.001457591,0.0001874793,0.00646182,0.000228855,0.0006129086,0.000016366],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002376754,"about_ca_system_score_gemma":0.00009310976,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009855408,"about_ca_topic_score_gemma":0.000160538,"domain_scores_codex":[0.9948201,0.002360791,0.0006079596,0.0002679092,0.001571148,0.0003720677],"domain_scores_gemma":[0.9965746,0.001024448,0.0001735833,0.0006883732,0.001439901,0.0000990433],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00009060126,0.0001436053,0.006291314,0.001783777,0.000007280991,0.000002224864,0.03331469,0.001135816,0.01315842,0.1612222,0.0004112726,0.7824388],"study_design_scores_gemma":[0.001307651,0.001285023,0.4738165,0.001715612,0.000001960348,0.00003301969,0.004927537,0.3970747,0.05608569,0.01339059,0.04959125,0.0007705308],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8231364,0.0000838066,0.1608068,0.0002047018,0.0001309951,0.0008444582,0.000003292063,0.0001516856,0.01463784],"genre_scores_gemma":[0.9972082,0.00002131058,0.002548626,0.000009571298,0.00004838865,0.0001162647,0.000003648258,0.0000046856,0.00003930236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7816683,"threshold_uncertainty_score":0.9987757,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2116459372","doi":"10.1287/isre.1080.0219","title":"Complementarities in the Diffusion of Personal Computers and the Internet: Implications for the Global Digital Divide","year":2009,"lang":"en","type":"article","venue":"Information Systems Research","topic":"ICT Impact and Policies","field":"Engineering","cited_by":156,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Victoria","funders":"","keywords":"The Internet; Digital divide; Diffusion; Developing country; Innovation diffusion; Computer science; Affect (linguistics); Telecommunications; Business; Economics; World Wide Web; Knowledge management; Economic growth; Sociology","retraction":null,"screen_n_in":null,"score":{"opus":0.05462357184943747,"gpt":0.3452086554106437,"spread":0.2905850835612062,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007347363,0.00004804317,0.00007238296,0.0000558096,0.0001248801,0.0003331625,0.0002221764,0.00001804894,0.000001006921],"category_scores_gemma":[0.00003691668,0.00002283297,0.00002602282,0.0001529526,0.0001169601,0.0003378291,0.00003072052,0.00008534059,0.000002552549],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000508788,"about_ca_system_score_gemma":0.00001255803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005628655,"about_ca_topic_score_gemma":0.00003679761,"domain_scores_codex":[0.999369,0.00004236032,0.0002185333,0.00001587771,0.0002058106,0.0001484266],"domain_scores_gemma":[0.9991286,0.0006576729,0.00002514909,0.0001019092,0.00007208046,0.00001455814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0001806357,0.00003885033,0.02602109,0.0004721924,0.0001071727,7.821527e-8,0.3740579,0.004460527,0.00002955655,0.449225,0.06078446,0.08462255],"study_design_scores_gemma":[0.002701111,0.0001940222,0.4571996,0.0001860029,0.00001074037,0.00005072939,0.1141685,0.2652619,0.00002113718,0.002375827,0.1576563,0.0001741424],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9534039,0.0007147549,0.02306219,0.009452187,0.000188818,0.002245825,0.0004724162,0.00004334899,0.01041654],"genre_scores_gemma":[0.9997415,0.00002517872,0.000002741253,0.00009252478,0.00004125699,0.00005659109,0.00002492297,0.000001454073,0.00001383277],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4468492,"threshold_uncertainty_score":0.3212693,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2135797260","doi":"10.1287/isre.2014.0537","title":"The IQ of the Crowd: Understanding and Improving Information Quality in Structured User-Generated Content","year":2014,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Data Quality and Management","field":"Decision Sciences","cited_by":152,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Information quality; Quality (philosophy); Class (philosophy); Data science; Data mining; Knowledge management; Information retrieval; Information system; Artificial intelligence","retraction":null,"screen_n_in":null,"score":{"opus":0.5163197398913468,"gpt":0.4719992757335768,"spread":0.04432046415777002,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","scholarly_communication"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.03687475,0.00007746203,0.0001764429,0.0003873585,0.0005621746,0.001693045,0.0007825234,0.00006800729,0.000005629971],"category_scores_gemma":[0.008748434,0.00003939341,0.00003310282,0.001018943,0.0002236131,0.003179783,0.0004604422,0.0002322533,0.00003474048],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001806904,"about_ca_system_score_gemma":0.00008854785,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002320025,"about_ca_topic_score_gemma":0.0007646969,"domain_scores_codex":[0.9938134,0.001787576,0.001516015,0.00010373,0.002511068,0.0002681953],"domain_scores_gemma":[0.9960116,0.001874529,0.0005778554,0.0006620565,0.0008193257,0.0000546294],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001320623,0.00001068368,0.007926916,0.0002909805,0.00002305062,7.21413e-8,0.01105866,0.001831694,0.000434367,0.9093654,0.006430561,0.06249559],"study_design_scores_gemma":[0.002720098,0.0001400679,0.1659442,0.00019109,0.000006861666,0.000005377116,0.2972694,0.11923,0.00127674,0.01508674,0.3977943,0.0003352058],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.860241,0.0001069971,0.1132712,0.003849464,0.001587866,0.003182992,0.0001602752,0.00004581218,0.01755441],"genre_scores_gemma":[0.9996291,0.00001002564,0.00002150772,0.00008398588,0.00001734401,0.0000281109,0.0000129001,0.000001756481,0.0001952625],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8942786,"threshold_uncertainty_score":0.9996013,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2160245309","doi":"10.1287/isre.1100.0296","title":"Information Technology, Network Structure, and Competitive Action","year":2010,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Business Strategy and Innovation","field":"Business, Management and Accounting","cited_by":149,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Queen's University","funders":"","keywords":"Industrial organization; Competitive advantage; Network structure; Business; Action (physics); Knowledge management; Marketing; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.03782368992681066,"gpt":0.3024324541896812,"spread":0.2646087642628706,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.001070573,0.0001057982,0.0001175297,0.001114352,0.0005069649,0.001269631,0.0001585532,0.0002310039,0.00006671436],"category_scores_gemma":[0.0002384184,0.00009484115,0.00001207079,0.001909972,0.0001477561,0.01396974,0.0001197938,0.0006125233,0.000521106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002648377,"about_ca_system_score_gemma":0.00004251503,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003832606,"about_ca_topic_score_gemma":0.0000594628,"domain_scores_codex":[0.9987611,0.00001289998,0.0004169645,0.0000694429,0.0004530979,0.0002865227],"domain_scores_gemma":[0.9977444,0.00003318001,0.0002523651,0.0001796529,0.001779424,0.00001097607],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000261602,0.00000439733,0.006421673,0.0002721266,0.000008340327,1.604651e-7,0.00006565177,0.0002135445,0.0002836776,0.9726018,0.00381083,0.01629164],"study_design_scores_gemma":[0.0004952966,0.00001264336,0.03048261,0.00006917837,0.000004800324,0.0000187138,0.003101966,0.009537734,0.0001331058,0.0085526,0.9473979,0.0001934874],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.847241,0.00003580535,0.003916003,0.002203423,0.00310886,0.001450648,0.00001976672,0.0004620796,0.1415624],"genre_scores_gemma":[0.9986024,0.00000565859,0.0001151141,0.0002048562,0.0007615957,0.00004645026,0.0002287551,0.000005278486,0.00002985411],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9640492,"threshold_uncertainty_score":0.9998214,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2115671909","doi":"10.1287/isre.11.2.115.11776","title":"The Role of Multimedia in Changing First Impression Bias","year":2000,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Visual and Cognitive Learning Processes","field":"Psychology","cited_by":145,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Impression; Precedent; Set (abstract data type); Task (project management); Multimedia; Computer science; Impression formation; Psychology; Cognitive psychology; World Wide Web; Perception; Social perception","retraction":null,"screen_n_in":null,"score":{"opus":0.08469618625161641,"gpt":0.4184318820666235,"spread":0.3337356958150071,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002151761,0.00005778092,0.00009546681,0.0004627458,0.000257909,0.00008636596,0.000205813,0.00007633695,0.0004152923],"category_scores_gemma":[0.000255503,0.00003813688,0.00002113028,0.0008808334,0.00007784981,0.0003321946,0.00004017075,0.0002733268,0.001837619],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002555928,"about_ca_system_score_gemma":0.00003076903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007394107,"about_ca_topic_score_gemma":0.00002063926,"domain_scores_codex":[0.9984547,0.0002986669,0.0003678677,0.00007355592,0.0004636499,0.0003415779],"domain_scores_gemma":[0.9988033,0.0006120311,0.00008235619,0.0001549411,0.0003089785,0.00003842572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000211337,0.00004446271,0.01002531,0.0001224209,0.00001614437,0.000001396317,0.04866171,0.000178955,0.00005409738,0.001953009,0.0006470067,0.9380842],"study_design_scores_gemma":[0.0007573222,0.0001426611,0.0184611,0.0003893354,0.000001462346,0.000009980812,0.06897211,0.01054654,0.0007069882,0.00009226549,0.8998098,0.000110378],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7124392,0.001579699,0.0000331095,0.0001511276,0.0002074956,0.0005934012,0.00001031956,0.00003931988,0.2849463],"genre_scores_gemma":[0.9954329,0.00007527776,0.000002632522,0.000009493002,0.00005985153,0.0001834407,0.000009456598,0.000004833724,0.00422209],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9379738,"threshold_uncertainty_score":0.9989396,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2001905316","doi":"10.1287/isre.1120.0455","title":"When Social Media Can Be Bad for You: Community Feedback Stifles Consumer Creativity and Reduces Satisfaction with Self-Designed Products","year":2013,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Consumer Retail Behavior Studies","field":"Business, Management and Accounting","cited_by":136,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Alberta","funders":"","keywords":"Product (mathematics); Marketing; Mass customization; Profitability index; Personalization; Creativity; Business; Psychology; Social psychology","retraction":null,"screen_n_in":null,"score":{"opus":0.1143562525524257,"gpt":0.3206929638896187,"spread":0.2063367113371929,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.00211819,0.0001803761,0.0002823313,0.0004313194,0.00142092,0.001382551,0.0001768932,0.00008749779,0.00002649604],"category_scores_gemma":[0.0006761635,0.0001457223,0.00002399282,0.0004170694,0.0002649695,0.003709558,0.0001930096,0.0003227968,0.00009533864],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000120988,"about_ca_system_score_gemma":0.00009700367,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02761763,"about_ca_topic_score_gemma":0.0038204,"domain_scores_codex":[0.9981658,0.0001810882,0.00039617,0.0001508768,0.000725045,0.0003809637],"domain_scores_gemma":[0.9965675,0.0004694077,0.0002631735,0.0002329881,0.002442823,0.00002414549],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003608474,0.0001747243,0.7029514,0.004940914,0.0004256734,0.000001134703,0.04197799,0.000002789274,0.002746565,0.003494358,0.0483848,0.1945388],"study_design_scores_gemma":[0.002220529,0.0000625317,0.8911412,0.0002127927,0.0001216369,0.000007617411,0.05882011,0.0006092809,0.0002994695,0.0001272645,0.04582216,0.0005553717],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933206,0.00007994453,0.00003795277,0.001957234,0.0001519593,0.002423907,0.00003436161,0.0001589471,0.001835106],"genre_scores_gemma":[0.9985879,0.00001160256,0.0001455232,0.00002547336,0.0001446049,0.0008534722,0.00009947897,0.00001663381,0.0001153284],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1939834,"threshold_uncertainty_score":0.9998791,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2611012316","doi":"10.1287/isre.2017.0695","title":"Designing for Diagnosticity and Serendipity: An Investigation of Social Product-Search Mechanisms","year":2017,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":136,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Serendipity; Product (mathematics); Computer science; World Wide Web; Internet privacy; Psychology; Advertising; Business","retraction":null,"screen_n_in":null,"score":{"opus":0.1721320728626875,"gpt":0.4302684113097545,"spread":0.258136338447067,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01211668,0.00006138183,0.0001537337,0.0001782428,0.0029128,0.001144501,0.0003336628,0.000103452,0.000003491276],"category_scores_gemma":[0.006781827,0.00006202243,0.00002431499,0.0001351421,0.0006483437,0.0025679,0.00008361247,0.0001473026,0.000008549595],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008188307,"about_ca_system_score_gemma":0.0003742086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004185027,"about_ca_topic_score_gemma":0.0002297803,"domain_scores_codex":[0.9976152,0.000647901,0.0002970023,0.0001164454,0.0009852268,0.0003381789],"domain_scores_gemma":[0.9975218,0.0007172473,0.0002002075,0.0001707687,0.001238614,0.0001514325],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.000133426,0.00003975568,0.01582588,0.0009915375,0.00003818733,6.27255e-7,0.3159862,0.000009786694,0.001561319,0.5870808,0.001761592,0.07657094],"study_design_scores_gemma":[0.003494095,0.001232363,0.2665069,0.00101282,0.00004860347,0.000003508325,0.6061394,0.004646295,0.01672155,0.05780938,0.04115944,0.001225687],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.968025,0.00002030599,0.002037618,0.001132019,0.00041928,0.001706659,0.0000502528,0.00005640676,0.02655247],"genre_scores_gemma":[0.9989365,0.00001213034,0.000339991,0.000008677873,0.0002948167,0.0001274718,0.00001909432,0.000005516868,0.0002558437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5292714,"threshold_uncertainty_score":0.9998924,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2589484812","doi":"10.1287/isre.2016.0654","title":"Popularity or Proximity: Characterizing the Nature of Social Influence in an Online Music Community","year":2017,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":136,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Popularity; Online community; Appeal; Salient; Advertising; Variety (cybernetics); Social network (sociolinguistics); Brand community; Perspective (graphical); Online participation; Social media; Internet privacy; Computer science; Psychology; The Internet; World Wide Web; Social psychology; Business; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.2393961433470969,"gpt":0.462612141840233,"spread":0.2232159984931361,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.01298549,0.00006463134,0.000172242,0.0001412342,0.003506251,0.001142154,0.00116045,0.0002428776,0.000006140856],"category_scores_gemma":[0.01066234,0.00004632197,0.00003028485,0.0003176808,0.0007364588,0.004149396,0.0002194307,0.001313459,0.000009763142],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000144738,"about_ca_system_score_gemma":0.0003997716,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02293877,"about_ca_topic_score_gemma":0.01785098,"domain_scores_codex":[0.9958484,0.002268238,0.0003916379,0.00006148816,0.001103208,0.0003270004],"domain_scores_gemma":[0.9978159,0.0004827724,0.0003110141,0.0003922729,0.0009251374,0.00007290778],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0003928531,0.0004235284,0.1627709,0.0008468937,0.0000282969,0.00000517849,0.690396,0.000006231095,0.0002370982,0.07411969,0.000663987,0.0701094],"study_design_scores_gemma":[0.0002449868,0.00005181141,0.810008,0.0001839638,0.000001474709,5.337931e-7,0.1591805,0.00009973181,0.00001022176,0.0003017475,0.0298244,0.00009257684],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9688836,0.000006644671,6.363446e-7,0.001146923,0.0002363543,0.000553783,0.00004262787,0.00002393645,0.02910547],"genre_scores_gemma":[0.9994649,0.000007936535,0.000004748126,0.00005922561,0.0002032987,0.00003653356,0.00002534422,0.000003656196,0.0001944008],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6472371,"threshold_uncertainty_score":0.9998947,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2134404195","doi":"10.1287/isre.1110.0405","title":"<b>Research Note</b>—Music Blogging, Online Sampling, and the Long Tail","year":2012,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":124,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Popularity; News aggregator; Sampling (signal processing); Advertising; Social media; Music industry; Consumption (sociology); Popular music; Long tail; Computer science; Business; Sociology; Psychology; World Wide Web; Music education; Art; Statistics; Visual arts; Social psychology; Telecommunications; Mathematics; Social science","retraction":null,"screen_n_in":null,"score":{"opus":0.1990380317167451,"gpt":0.4675729349419819,"spread":0.2685349032252368,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts","scholarly_communication"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.04332122,0.00009137359,0.0001861264,0.0003917238,0.002255001,0.001278148,0.0004562777,0.0001726247,0.00004413903],"category_scores_gemma":[0.008951373,0.00006517956,0.00004576988,0.001077213,0.001772949,0.001913436,0.0002376941,0.0007986344,0.0004604479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002360419,"about_ca_system_score_gemma":0.0003557416,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01042446,"about_ca_topic_score_gemma":0.0007626326,"domain_scores_codex":[0.9927911,0.00288056,0.0004260428,0.000110889,0.002700394,0.001091048],"domain_scores_gemma":[0.9938314,0.004306918,0.00009889337,0.0002450398,0.001181551,0.0003361814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001773504,0.0001326679,0.02640132,0.0003357803,0.00004548438,0.000001518318,0.3660043,0.00002001546,0.000006911499,0.3646986,0.01950301,0.222673],"study_design_scores_gemma":[0.0006850056,0.00002880399,0.0122744,0.0001423242,0.000003679339,0.000003840912,0.1456656,0.0003613277,0.000003026977,0.0005428568,0.8401465,0.0001426328],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.457907,0.001590108,0.0002611964,0.003314724,0.001556017,0.001808309,0.00002771902,0.0001659977,0.5333689],"genre_scores_gemma":[0.9951378,0.0002226349,0.00002558241,0.00006228071,0.001396339,0.0001127675,0.00001652214,0.000009002607,0.003017051],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8206435,"threshold_uncertainty_score":0.9997586,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2166820194","doi":"10.1287/isre.1080.0218","title":"Let's Shop Online Together: An Empirical Investigation of Collaborative Online Shopping Support","year":2009,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":121,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of British Columbia","funders":"","keywords":"Online chat; Perception; Empirical research; Product (mathematics); Computer science; Advertising; Business; World Wide Web; Psychology; The Internet","retraction":null,"screen_n_in":null,"score":{"opus":0.1425523503080027,"gpt":0.4671250845190025,"spread":0.3245727342109999,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005804244,0.0000935172,0.0002261672,0.0003619056,0.0004224213,0.0003457527,0.0003165787,0.0001838911,0.00002741258],"category_scores_gemma":[0.003068941,0.00008932918,0.0000390797,0.001468554,0.0003837879,0.002289738,0.00003157339,0.0002865192,0.00004123226],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002257198,"about_ca_system_score_gemma":0.00116784,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006572344,"about_ca_topic_score_gemma":0.0004544661,"domain_scores_codex":[0.9959072,0.001230287,0.0006467982,0.0001242681,0.001699149,0.0003922547],"domain_scores_gemma":[0.9967172,0.0004896953,0.0002100768,0.0001822607,0.00212772,0.0002730289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002906198,0.000528444,0.05515758,0.0002962967,0.00006387442,0.00000783879,0.6680805,0.0002988418,0.0007941315,0.02999006,0.02616033,0.2183314],"study_design_scores_gemma":[0.0008556477,0.001074876,0.04211577,0.000383535,0.000009061621,0.000002554747,0.6379122,0.002542008,0.0001349737,0.001121486,0.3134246,0.0004232555],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9258835,0.00004063676,0.00005956931,0.002952879,0.0002591969,0.0006553198,0.0001270903,0.0000951892,0.06992661],"genre_scores_gemma":[0.9982979,0.00004453583,0.0001694931,0.0002018736,0.0003985252,0.00001436594,0.0002920418,0.000005156247,0.0005760653],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2872643,"threshold_uncertainty_score":0.3674031,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2111877104","doi":"10.1287/isre.2013.0487","title":"Product-Oriented Web Technologies and Product Returns: An Exploratory Study","year":2013,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":118,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"University of Calgary","funders":"University of California, Irvine; University of Texas at Austin; Carnegie Mellon University","keywords":"Robustness (evolution); Product (mathematics); Clothing; Extant taxon; Computer science; Context (archaeology); The Internet; Zoom; Marketing; Business; Econometrics; Economics; World Wide Web; Engineering; Mathematics","retraction":null,"screen_n_in":null,"score":{"opus":0.07072599750192336,"gpt":0.318300948346935,"spread":0.2475749508450116,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003071521,0.0001432585,0.0001787254,0.001087328,0.0004120389,0.00159643,0.0002952877,0.00005048717,0.00004365931],"category_scores_gemma":[0.0005915363,0.0001168676,0.00001563512,0.001179002,0.0001049788,0.01041854,0.0003988881,0.000342102,0.000647046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003638959,"about_ca_system_score_gemma":0.00004780177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001187182,"about_ca_topic_score_gemma":0.0001521125,"domain_scores_codex":[0.9980679,0.00009208565,0.0004617988,0.0002456779,0.0007637314,0.000368806],"domain_scores_gemma":[0.9977922,0.00004413296,0.0001501,0.0005648992,0.001430041,0.00001865572],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.00009856295,0.0003800983,0.6194803,0.001828423,0.00006513445,0.00000877859,0.01050164,0.00001203572,0.002445475,0.002265064,0.02541687,0.3374976],"study_design_scores_gemma":[0.001645194,0.0001431039,0.1333713,0.0002484295,0.00003692981,0.00001661663,0.5043571,0.007320392,0.0002244026,0.0001435375,0.3517331,0.0007599721],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9902231,0.0002481083,0.000008812227,0.0003863146,0.0003376917,0.002809082,0.000001668532,0.0004825158,0.005502734],"genre_scores_gemma":[0.9987957,0.00001511894,0.00001313015,0.00002233211,0.0002147838,0.0007312099,0.00002100251,0.00001226685,0.0001744419],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4938554,"threshold_uncertainty_score":0.99944,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2057787929","doi":"10.1287/isre.11.1.93.11786","title":"Using Repertory Grids to Conduct Cross-Cultural Information Systems Research","year":2000,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Cognitive and psychological constructs research","field":"Psychology","cited_by":117,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Repertory grid; Emic and etic; Laddering; Interview; Interpretation (philosophy); Data science; Field (mathematics); Epistemology; Qualitative research; Perspective (graphical); Sociology; Computer science; Flexibility (engineering); Grounded theory; Management science; Information system; Knowledge management; Psychology; Social psychology; Management; Social science; Marketing; Artificial intelligence; Political science","retraction":null,"screen_n_in":null,"score":{"opus":0.5317206623197982,"gpt":0.5892151814696531,"spread":0.05749451914985493,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.01416925,0.0003286494,0.0004966927,0.002208157,0.001524332,0.003667997,0.001104917,0.0005749545,0.004605583],"category_scores_gemma":[0.001565539,0.000268475,0.0001290624,0.003631194,0.000920012,0.006026213,0.000280414,0.002095073,0.04355412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007003788,"about_ca_system_score_gemma":0.000382008,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007784876,"about_ca_topic_score_gemma":0.00001079265,"domain_scores_codex":[0.9883244,0.003461115,0.001733769,0.0004985658,0.003967077,0.002015046],"domain_scores_gemma":[0.988439,0.001073743,0.0001673257,0.001112351,0.00848368,0.0007238784],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.005591722,0.0004480872,0.01401177,0.002058334,0.0006316995,0.0001801966,0.06369475,0.003561459,0.002174769,0.1229219,0.3397612,0.4449641],"study_design_scores_gemma":[0.001467705,0.0005468482,0.008402482,0.000277216,0.000004584743,0.0003645362,0.02520878,0.001514153,0.00007068101,0.00007198717,0.9616349,0.0004361401],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5789422,0.0003544741,0.0001806822,0.0001757177,0.001191635,0.00255025,0.0001746383,0.0001392033,0.4162911],"genre_scores_gemma":[0.9862682,0.00005440714,0.00005371006,0.0001963157,0.0006371126,0.0008034322,0.0001959162,0.00002454848,0.01176638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6218737,"threshold_uncertainty_score":0.9999768,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W4386092543","doi":"10.1287/isre.2022.0152","title":"More Than a Bot? The Impact of Disclosing Human Involvement on Customer Interactions with Hybrid Service Agents","year":2023,"lang":"en","type":"article","venue":"Information Systems Research","topic":"AI in Service Interactions","field":"Computer Science","cited_by":116,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false},"ca_institutions":"","funders":"HEC Montréal","keywords":"Chatbot; Service (business); Leverage (statistics); Customer service; Business; Transparency (behavior); Workload; Computer science; Knowledge management; Marketing; World Wide Web; Artificial intelligence; Computer security","retraction":null,"screen_n_in":null,"score":{"opus":0.1422496300864431,"gpt":0.445638188650075,"spread":0.3033885585636319,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001296014,0.0001437792,0.0001577614,0.0008807814,0.0006344548,0.0006749814,0.001162024,0.0000308634,0.00002508007],"category_scores_gemma":[0.00004426091,0.00008653942,0.00007889984,0.002452187,0.0000629955,0.002980736,0.0004316813,0.0004671172,0.001541097],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004236697,"about_ca_system_score_gemma":0.0001693488,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006097548,"about_ca_topic_score_gemma":0.0001453133,"domain_scores_codex":[0.9972519,0.0002603867,0.000525973,0.000170827,0.001379824,0.0004111001],"domain_scores_gemma":[0.9971983,0.0003559747,0.0002602281,0.0009426518,0.00113887,0.0001039394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003406235,0.0008534336,0.02222094,0.00176749,0.001516482,0.0000564819,0.2400588,0.4110426,0.004762167,0.04278048,0.2645996,0.01000087],"study_design_scores_gemma":[0.0009990773,0.0007230992,0.08245547,0.001588617,0.00001345257,0.00009034595,0.0410382,0.8368127,0.002063177,0.000192507,0.03355145,0.0004718366],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9746336,0.000005503717,0.005182026,0.002721608,0.000433765,0.001250219,0.00004857815,0.0002442223,0.01548042],"genre_scores_gemma":[0.9990793,0.000003065763,0.00004212466,0.0001012452,0.0000615388,0.0002361202,0.00005340922,0.00001048275,0.0004126896],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4257702,"threshold_uncertainty_score":0.9992363,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W3092061312","doi":"10.1287/isre.2020.0950","title":"Configurations for Achieving Organizational Ambidexterity with Digitization","year":2020,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Innovation and Knowledge Management","field":"Business, Management and Accounting","cited_by":112,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"Simon Fraser University","funders":"","keywords":"Ambidexterity; Digitization; Competitive advantage; Industrial organization; Business; Balance (ability); Flexibility (engineering); Organizational structure; Knowledge management; Marketing; Economics; Computer science; Telecommunications; Management","retraction":null,"screen_n_in":null,"score":{"opus":0.09179905977795014,"gpt":0.3011058976362586,"spread":0.2093068378583085,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007142409,0.00009425259,0.0001114969,0.0003823508,0.0004881449,0.00154879,0.0001799453,0.00004396292,0.00007697625],"category_scores_gemma":[0.000498343,0.00008253039,0.00001913116,0.00158851,0.00004149784,0.00313486,0.00008047016,0.0001108648,0.001002211],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005235649,"about_ca_system_score_gemma":0.00006444933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002616015,"about_ca_topic_score_gemma":0.000005730973,"domain_scores_codex":[0.998663,0.00001730415,0.0003972933,0.0001255023,0.0005782669,0.0002186051],"domain_scores_gemma":[0.9966919,0.00005164783,0.0001688019,0.0001191989,0.002949601,0.0000188367],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005097854,0.00001602203,0.00149001,0.0006326269,0.00001736786,3.080957e-7,0.0003291303,0.0003303269,0.0001361094,0.9821522,0.01382368,0.001021197],"study_design_scores_gemma":[0.0009327803,0.00003750007,0.001202149,0.00006575597,0.000008839744,0.000001181872,0.004079847,0.08428368,0.00005719268,0.0003655598,0.9087623,0.0002032469],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.006372975,0.00001456514,0.2619556,0.009127471,0.0003837795,0.003082786,0.00003398567,0.0004139007,0.718615],"genre_scores_gemma":[0.9961026,8.897102e-7,0.0001502237,0.001786505,0.000818732,0.0001873615,0.0006894442,0.00001429744,0.0002499579],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9897296,"threshold_uncertainty_score":0.9997756,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2156786970","doi":"10.1287/isre.1090.0254","title":"Competing “Creatively” in Sponsored Search Markets: The Effect of Rank, Differentiation Strategy, and Competition on Performance","year":2010,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":105,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Listing (finance); Competition (biology); Rank (graph theory); Market segmentation; Business; Marketing; Online search; Industrial organization; Product differentiation; Economics; Microeconomics; Advertising; Computer science; Information retrieval","retraction":null,"screen_n_in":null,"score":{"opus":0.02901619145111934,"gpt":0.2965383887827494,"spread":0.2675221973316301,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007051509,0.0001137504,0.0001837432,0.0007466563,0.0002970335,0.0005182659,0.0001928377,0.00007170089,0.00007398336],"category_scores_gemma":[0.0003308463,0.00007786936,0.00002638972,0.0006410792,0.0001267073,0.001665879,0.0001116401,0.0005638188,0.00006523152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002655438,"about_ca_system_score_gemma":0.00002066274,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001028721,"about_ca_topic_score_gemma":0.00007209747,"domain_scores_codex":[0.9982566,0.0002685443,0.000426246,0.0001134069,0.0006821246,0.0002530632],"domain_scores_gemma":[0.9983566,0.0009282544,0.0001520502,0.00020152,0.0003488588,0.00001276212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00138642,0.00003880152,0.8894776,0.002461533,0.00002087544,0.000001493713,0.001102388,0.0002978705,0.004228632,0.01215911,0.00007465451,0.08875063],"study_design_scores_gemma":[0.001147234,0.00006102972,0.9139493,0.0003297353,0.000008212648,0.000003677252,0.001647178,0.08007224,0.0004125501,0.000008939583,0.002250627,0.000109243],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643646,0.00001482941,0.00002721059,0.000076146,0.0001479343,0.000836292,0.000004711191,0.0000230894,0.03450518],"genre_scores_gemma":[0.9997211,0.00001282004,0.000002678016,0.000009533374,0.00009091184,0.00006712804,0.00004939916,0.000006970547,0.00003952756],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08864139,"threshold_uncertainty_score":0.499765,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null},{"id":"W2002362689","doi":"10.1287/isre.1080.0222","title":"<b>Research Note</b>—Quality Uncertainty and the Performance of Online Sponsored Search Markets: An Empirical Investigation","year":2009,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Consumer Market Behavior and Pricing","field":"Business, Management and Accounting","cited_by":103,"is_retracted":false,"has_abstract":true,"routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false},"ca_institutions":"McGill University","funders":"","keywords":"Adverse selection; Context (archaeology); Quality (philosophy); Common value auction; Search advertising; Search cost; Advertising; Business; Online search; Empirical evidence; Online advertising; Marketing; Intervention (counseling); Economics; Microeconomics; The Internet; Actuarial science; Computer science","retraction":null,"screen_n_in":null,"score":{"opus":0.1368049246159429,"gpt":0.4174924668082485,"spread":0.2806875421923056,"validation_status":"score_only:v0-immature-baseline"},"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03332205,0.0001441609,0.0002961085,0.001088811,0.0007361011,0.0008398309,0.000503982,0.0001314674,0.00004164126],"category_scores_gemma":[0.001081986,0.000100902,0.00004745984,0.001940597,0.0006744555,0.003651541,0.0002505443,0.0008210492,0.00007202825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008966473,"about_ca_system_score_gemma":0.0001991028,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003904409,"about_ca_topic_score_gemma":0.00008029352,"domain_scores_codex":[0.9950057,0.001246753,0.0008740105,0.0002114611,0.002122018,0.0005400011],"domain_scores_gemma":[0.9956884,0.001160775,0.0001910579,0.0005127484,0.002393772,0.0000532659],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.008140727,0.0003683004,0.4276735,0.003691795,0.00005663412,0.00000518909,0.01176238,0.001861736,0.0020474,0.0268825,0.003744705,0.5137652],"study_design_scores_gemma":[0.001681688,0.0000670025,0.7945485,0.0001746336,0.00001019769,0.000006355848,0.005781674,0.1865742,0.00007092172,0.000217715,0.01069368,0.0001733953],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99127,0.00008374082,0.00005342903,0.001941973,0.00009562106,0.00102187,0.00001170948,0.00005408082,0.005467559],"genre_scores_gemma":[0.9991782,0.0000498974,0.00003608822,0.000204483,0.0002561627,0.00003914821,0.0001156604,0.000008307808,0.000112001],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5135918,"threshold_uncertainty_score":0.9953983,"prediction_status":"machine_predicted_unvalidated"},"labels":[],"label_agreement":null}]}